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A dataflow-centric approach to design low power control paths in CGRAs

机译:以CGRAS设计低功率控制路径的数据流为中心

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Coarse-grained reconfigurable architectures (CGRAs) present an appealing hardware platform by providing high computation throughput, scalability, low cost, and energy efficiency, but suffer from relatively high control path power consumption. We take the concept of a token network from dataflow machines and apply it to the control path of CGRAs to increase efficiency. As a result, instruction memory power is reduced by 74% , the overall control path power by 56%, and the total system power by 25%.
机译:粗粒化可重构架构(CGRAS)通过提供高计算吞吐量,可扩展性,低成本和能效,而是遭受相对较高的控制路径功耗的吸引力。我们从DataFlow机器获取令牌网络的概念,并将其应用于CGRA的控制路径以提高效率。结果,指令存储器电源减少了74%,整体控制路径功率56%,总系统功率为25%。

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